11 citations · 11 across the 3 of their papers we have counts for
5 papers
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks
Leonel Rozo, Meng Guo, Andras G. Kupcsik +8
Enabling robots to quickly learn manipulation skills is an important, yet challenging problem. Such manipulation skills should be flexible, e.g., be able adapt to the current works…
Analysis and Transfer of Human Movement Manipulability in Industry-like Activities
Noémie Jaquier, Leonel Rozo, Sylvain Calinon
Humans exhibit outstanding learning, planning and adaptation capabilities while performing different types of industrial tasks. Given some knowledge about the task requirements, hu…
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Noémie Jaquier, Leonel Rozo, Sylvain Calinon +1
Bayesian optimization (BO) recently became popular in robotics to optimize control parameters and parametric policies in direct reinforcement learning due to its data efficiency an…
Interactive Trajectory Adaptation through Force-guided Bayesian Optimization
Leonel Rozo
Flexible manufacturing processes demand robots to easily adapt to changes in the environment and interact with humans. In such dynamic scenarios, robotic tasks may be programmed th…
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies
Domingo Esteban, Leonel Rozo, Darwin G. Caldwell
A common strategy to deal with the expensive reinforcement learning (RL) of complex tasks is to decompose them into a collection of subtasks that are usually simpler to learn as we…